Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it’s ...

Multiverse Computing S.L. said today it has raised $215 million in funding to accelerate the deployment of its quantum computing-inspired artificial intelligence model compression technology, which ...

Large language models (LLMs) such as GPT-4o and other modern state-of-the-art generative models like Anthropic’s Claude, Google's PaLM and Meta's Llama have been dominating the AI field recently.

Artificial intelligence model compression startup Refiant AI said today it has raised $5 million in seed funding from VoLo Earth Ventures to try to put an end to the “arms race” that has ignited a ...

Intel has disclosed a maximum severity vulnerability in some versions of its Intel Neural Compressor software for AI model compression. The bug, designated as CVE-2024-22476, provides an ...

I see awful diminishing returns here. (Lossless) compression of today isn't really that much better than products from the 80s and early 90s - stacker (wasn't it?), pkzip, tar, gz. You get maybe a few ...